Title of education

Predictive analytics and the use of simple machine learning methods to predict market prices

Predictive analytics helps us understand possible future events by analyzing the past. At its core, predictive analytics encompasses a range of statistical techniques and machine learning algorithms that, based on historical and current data, estimate or “forecast” future outcomes. These outcomes may be behaviours that the customer is likely to exhibit, predicting some trends, or, for example, estimating a price or potential changes in the market.

Content of the training:

Predictive models include machine learning algorithms that can be learned and adapted to new data or values, as well as evaluate the results needed by the business. The most commonly used predictive models are decision trees, regression and neural networks.

Duration: 4h

Contractor: Prof. dr. sc. Marina Ivašić-Kos / Kristina Host, Faculty of Informatics and Digital Technologies Rijeka

Location: Hall O-359, Faculty of Informatics and Digital Technology, Radmile Matejčić 2, 51000 Rijeka + Online

Term: 25.4.2024, from 12.00 to 16.00

Log in

<- return